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Interpretable and Annotation Efficient Learning for Medical Image Computing

, and the 5th International Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis, LABELS 2020, held in conjunction;

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Deep Learning and Data Labeling for Medical Applications

Computer-Assisted Intervention, MICCAI 2016, in Athens, Greece, in October 2016: the First Workshop on Large-Scale Annotation of Biomedical Data;

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Medical Computer Vision: Algorithms for Big Data

Image Computing and Computer-Assisted Intervention, MICCAI 2014. The one-day workshop aimed at exploring the use of modern computer vision;

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Bayesian and grAphical Models for Biomedical Imaging

and Computer Assisted Intervention, MICCAI 2014. The 11 revised full papers presented were carefully reviewed and selected from numerous;

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Handbook of Medical Image Computing and Computer Assisted Intervention

Handbook of Medical Image Computing and Computer Assisted Intervention presents important advanced methods and state-of-the art;

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Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2013

Computing and Computer-Assisted Intervention, MICCAI 2013, held in Nagoya, Japan, in September 2013. Based on rigorous peer reviews, the program;

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Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support

related to the topic of interpretability of machine learning systems in the context of medical imaging and computer assisted intervention. The ML;

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Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014

Computing and Computer-Assisted Intervention, MICCAI 2014, held in Boston, MA, USA, in September 2014. Based on rigorous peer reviews, the program;

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Handbook of Deep Learning in Biomedical Engineering

composite information. Handbook for Deep Learning in Biomedical Engineering: Techniques and Applications gives readers a complete overview of the;

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Simulation and Synthesis in Medical Imaging

named simulation based approaches for medical imaging and synthesis and its applications in computational medical imaging .;

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Medical Computer Vision Large Data in Medical Imaging

2013, held in Nagoya, Japan, in September 2013 in conjunction with the 16th International Conference on Medical Image Computing and Computer;

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Machine Learning in Medical Imaging

in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2014, in Cambridge, MA, USA;

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Medical Image Computing and Computer-Assisted Intervention MICCAI 2017

Image Computing and Computer-Assisted Intervention, MICCAI 2017, held inQuebec City, Canada, in September 2017. The 255 revised full papers;

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Medical Image Computing and Computer Assisted Intervention MICCAI 2017

Image Computing and Computer-Assisted Intervention, MICCAI 2017, held inQuebec City, Canada, in September 2017. The 255 revised full papers;

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Medical Image Computing and Computer Assisted Intervention MICCAI 2018

Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018, held in Granada, Spain, in September 2018. The 373 revised full papers;

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Medical Image Computing and Computer Assisted Intervention MICCAI 2018

Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018, held in Granada, Spain, in September 2018. The 373 revised full papers;

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Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2013

Computing and Computer-Assisted Intervention, MICCAI 2013, held in Nagoya, Japan, in September 2013. Based on rigorous peer reviews, the program;

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Machine Learning and Medical Imaging

. Machine Learning and Medical Imaging is an ideal reference for medical imaging researchers, industry scientists and engineers, advanced;

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Augmented Environments for Computer Assisted Interventions

computer assisted intervention, interventional imaging, image-guided robotics, image-guided intervention, surgical planning and simulation;

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Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics

Imaging Genetics, MICGen 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention;

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Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions

and visualization, computer assisted intervention, interventional imaging, image-guided robotics, image-guided intervention, surgical planning;

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Deep Learning in Medical Image Analysis

This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer;

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Medical Computer Vision: Algorithms for Big Data

Image Computing and Computer-Assisted Intervention, MICCAI 2015. The workshop shows well the current trends and tendencies in medical computer;

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Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 Part I

Computing and Computer-Assisted Intervention, MICCAI 2016, held in Athens, Greece, in October 2016. Based on rigorous peer reviews, the program;

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Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 7-21, 2016, Proceedings, Part II

Computing and Computer-Assisted Intervention, MICCAI 2016, held in Athens, Greece, in October 2016. Based on rigorous peer reviews, the program;

Vergelijkbare producten zoals Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 7-21, 2016, Proceedings, Part II

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